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Public companyPosted 20 days ago

Data Scientist III, Research

Full-time
On-site
3+ years
$147K – $210K/yr
Posted 20 days ago

Google is hiring a Data Scientist III, Research to evaluate and improve its products. The role applies scientific and statistical methods to product development and improvement, collaborating with engineers and analysts to analyze user behavior and solve product challenges.

Posted
20 days ago
Source
google.com
Sector
Information Technology & AI

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Responsibilities

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent
  • Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis

Qualifications

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree

Preferred

  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree

Required skills

Database QueryingPythonRSQLStatistical Analysis

Full job description

Google is hiring a Data Scientist III, Research to evaluate and improve its products. The role applies scientific and statistical methods to product development and improvement, collaborating with engineers and analysts to analyze user behavior and solve product challenges.

Responsibilities

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent
  • Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis

Preferred

  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
  • Problem-Solving

Benefits

  • 15% bonus target
  • Equity

Company

  • Internet search and productivity software with AI products
  • Mountain View, California, USA
  • https://www.google.com/
  • Founded in 1998
  • 10001+ employees

Qualifications

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Required skills

  • Database Querying, Python, R, SQL, Statistical Analysis

Experience

  • 3+ years

Job details

Employment type

Full-time

Seniority level

3+ years

Date posted

Oct 24, 2026

Work mode

On-site

Job source

google.com

Company

Public company

Information Technology & AI

Internet search and productivity software with AI products

See all 835 jobs from Public company →
  • Mountain View, California, USA
  • Information Technology & AI
  • 10001+ employees
  • Founded 1998
  • google.com

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Data Scientist III, Research

Public company · $147K – $210K/yr

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